Biology subjects

Schulz, A.

Publications and source records attributed to Schulz, A..

At least 19 recordsLinked to original sources

bioRxiv2026

CLN6 is a glycerophosphoglycerol epimerase in bis(monoacylglycero)phosphate biosynthesis

Lysosomal catabolism depends on bis(monoacylglycero)phosphate (BMP), a phospholipid with atypical S,S stereochemistry of unknown biosynthetic origin. CLN8 and CLN5 catalyze sequential acylation steps in BMP synthesis, and their loss of function causes Batten disease, a group of inherited neurodegenerative lysosomal storage disorders. Here we identify CLN6, a biochemically uncharacterized endoplasmic reticulum protein whose loss also causes Batten disease, as the calcium-dependent glycerophosphoglycerol epimerase that establishes BMP stereochemistry upstream of CLN8. CLN6 deficiency depletes BMP in cells, mice, and patient lysosomes, and reduces lysosomal hydrolase levels. BMP-precursor supplementation bypasses CLN6, restores BMP and increases hydrolase abundance in CLN6-deficient cells and mice. These findings place three Batten disease proteins in a single biosynthetic pathway and reveal BMP deficiency as a reversible cause of disrupted lysosomal hydrolase homeostasis.

biochemistry↗

bioRxiv2026

The Batten disease gene product CLN6 is a glycerophosphoglycerol epimerase that establishes S,S-BMP stereochemistry

Bis(monoacylglycero)phosphate (BMP), a lysosomal phospholipid essential for lipid catabolism and cholesterol clearance, has a noncanonical S,S glycerol configuration found in no other mammalian phospholipid, a feature necessary for its stability in the lysosome. How cells invert glycerol stereochemistry to build S,S-BMP has remained unexplained since this configuration was discovered five decades ago. Here, we show that the endoplasmic reticulum-resident Batten disease protein CLN6 is a Ca2+-dependent epimerase that isomerizes glycerophosphoglycerol (GPG) from R,S-GPG to S,S-GPG. CLN6-deficient cells, mouse tissues, and patient samples predominantly contain R,S-GPG, S,R-lysophosphatidylglycerol (LPG), and R,S-BMP instead of their S,S counterparts, with a net depletion of BMP. Purified CLN6 catalyzes GPG epimerization in vitro, an activity abolished by a pathogenic substitution in its substrate-binding pocket. Consistently, exogenous S,S-GPG restores BMP synthesis and relieves lipid storage in CLN6-null cells. Our work establishes stereochemical commitment upstream of acylation, placing CLN6, CLN8, and CLN5 in sequence in BMP biosynthesis and unifying the lipid defect across these neurodegenerative disorders.

biochemistry↗

bioRxiv2026

Preliterate symbolic language processing sets the neural stage for learning to read

Formal writing is evolutionarily recent, yet the brains of literate adults contain regions - the OTS-words subregions - that respond more strongly to written text than other stimuli. We tested a novel solution to this multi-disciplinary paradox: Does symbolic language processing, which emerged early in human history, lay the neural foundation for reading? In a longitudinal fMRI study, we followed 17 children through their first year of literacy training and related neural responses to text, symbolic language processing, and emerging reading skills over time. We found that middle OTS-words is engaged in symbolic language processing before children learn to read, and that this early engagement predicts later text selectivity and reading ability. These findings suggest that literacy builds on a pre-existing neural scaffold linking vision and language.

neuroscience↗

bioRxiv2026

Translational lipidomics reveals BMP and its precursor LPG as biomarkers for CLN5 Batten disease

CLN5 Batten disease, caused by biallelic mutations in CLN5, is a rare, early-onset neurodegenerative lysosomal storage disorder that has no cure and lacks validated biomarkers, hindering accurate diagnosis and assessment of therapeutic response. We recently identified CLN5 as the synthase of bis(monoacylglycero)phosphate (BMP), an endolysosomal phospholipid crucial for lysosome function and lipid catabolism. This suggested BMP and its precursor lysophosphatidylglycerol (LPG) as clinically relevant biomarkers. It also prompted in vivo confirmation of CLN5 as the biologically relevant lysosomal BMP synthase. Here we show that murine and ovine disease models lacking CLN5 show significant and universal depletion of BMP and elevation of LPG across tissues and brain regions, consistent with the biochemical function of CLN5. Additionally, lysosomal lysates from murine models of CLN5 Batten disease lack the ability to synthesize BMP from its precursor LPG, establishing CLN5 as the main BMP synthase in vivo. Of importance, CLN5 patient-derived fibroblasts show BMP depletion and LPG elevation. Translating these results towards clinical utility, we demonstrate BMP and LPG to be accessible biomarkers for CLN5 Batten disease in both plasma and dried blood spots, enabling early diagnosis and patient screening.

cell biology↗

bioRxiv2026

Stelar starch management tailors diurnal and rehydration-related water flows in Pinus pinea needles

Pine needles contain two vascular cell types unique to gymnosperms: Transfusion parenchyma (tp) and tracheids (tt). Since they form the only connections between vascular bundles and bundle sheath, we hypothesised that they are involved in regulating the needles water import and photoassimilate export. Synchrotron-based tomography enabled us to quantify volume changes of tp and tt cells in Pinus pinea needles systematically along the needle and throughout a diurnal day cycle, as well as under rehydration. As a physiological indicator of tps carbohydrate status served their starch content. Segmentation of the comprehensive data uncovered dramatic volume changes during dehydration and showed a diurnal course of starch formation and degradation. These changes suggest a yet unknown osmotic water flux between tp and tt, balanced by the formers carbohydrate status. Confirming our hypothesis, excess of photoassimilates in tp cells went into starch synthesis during the day. Starch mobilisation during the night increased the osmotic potential in tp and led to water intake. According to the decreasing starch fraction from base to needle tip, this mechanism is predominant in the upper needle segments, particularly after rehydration of dehydrated needles. Mechanistically, osmolytes in tp cells maintain tension in tt for the needles water import. HighlightSynchrotron tomographic microscopy uncovers diurnal starch fluctuations and osmotic water pumping in inner tissues of pine needles that are utilised at night and when recovering from dehydration

plant biology↗

bioRxiv2026

Convergent molecular signatures of ageing and injury in the peripheral nervous system

Peripheral nervous system (PNS) ageing is marked by structural and functional decline, yet it remains unclear whether ageing constitutes a distinct biological programme or reflects a chronic injury-like state. To address this, we performed an unbiased, comparative molecular analysis of PNS ageing, neuroprotective dietary restriction (DR), and nerve injury. We conducted transcriptomic and proteomic profiling of peripheral nerves from young, old and geriatric mice fed ad libitum or subjected to long-term DR, and proteomics of nerves collected at multiple time points following injury. Age-associated molecular changes followed both linear and non-linear trajectories, and DR partially attenuated these ageing-related alterations. Notably, ageing-and injury-induced proteomic signatures showed considerable similarities, supporting the concept that an aged nerve resembles an injured nerve. Together, our study provides the most comprehensive molecular resource of PNS changes during ageing, DR, and injury, enabling the definition of key molecular signatures underlying PNS physiology. All datasets are integrated into the "PNS-omics Viewer", a Shiny web application designed to facilitate data mining of the herein presented datasets (tba).

neuroscience↗

bioRxiv2025

LAMA5 deficiency disrupts ECM-WNT crosstalk in chondrogenesis and contributes to idiopathic short stature

Idiopathic short stature (ISS) affects 2%-3% of the population and is genetically heterogeneous, with emerging evidence implicating the extracellular matrix (ECM) of the growth plate. We identify LAMA5, encoding laminin-5, as a candidate ISS gene, with rare heterozygous variants present in 1.2% of affected individuals. To define its functional role, we generated CRISPR/Cas9-mediated LAMA5-knockout (KO) urine-derived stem cells (USCs) and induced chondrogenic differentiation in two- and three-dimensional culture systems. Loss of LAMA5 impaired chondrogenesis, with disruption of cell-cell junction programs and abnormal architecture of chondrogenic spheroids. Bulk RNA sequencing combined with weighted gene co-expression network analysis revealed WNT7A and FLI1 as key dysregulated genes within the module most strongly associated with the KO phenotype. Gene Ontology enrichment of this module highlighted embryonic limb morphogenesis as the top biological process, and WNT7A was assigned to canonical WNT signaling. Pharmacologic activation of WNT signaling using lithium chloride (LiCl) partially restored expression of WNT7A, FLI1, TFAP2A, GRHL2, and PITX1 toward wild-type levels, indicating that attenuated WNT activity is a principal downstream consequence of LAMA5 deficiency. Consistent with this, we identified an individual with ISS carrying a heterozygous PITX1 missense variant, supporting convergence of ECM (LAMA5) and transcriptional (PITX1) perturbations on a shared WNT-centered limb-morphogenesis network. Together, these findings demonstrate that laminin-5 is required for proper ECM-WNT signaling integration during human chondrogenesis and suggest that dysregulated WNT activity represents a mechanistic link between LAMA5 dysfunction and impaired endochondral growth. Partial rescue by WNT pathway re-activation highlights a potentially targetable downstream mechanism in ISS pathogenesis.

genetics↗

bioRxiv2025

Single-cell dissection of urine-derived stem cell hierarchies reveals robust chondrogenesis and clinical scalability

Developing of models of human cartilage and bone growth is essential for the study of growth disorders and to advance towards personalized therapeutic interventions. The majority of in vitro strategies depend on the use of invasively obtained mesenchymal stem cells (MSCs) or the laborious generation of induced pluripotent stem cells (iPSCs). We have now established urine-derived stem cells (USCs) as a non-invasive stem cell source capable of osteogenic and robust chondrogenic spheroid differentiation. Single-cell RNA sequencing of USCs revealed a hierarchy originating from parietal epithelial cells of the kidney, with a proliferative TOP2A subpopulation governed by MYC and E2F4 regulatory networks. Pseudo-time analysis of chondrogenic USCs uncovered alternative chondrogenic differentiation trajectories with an ALDH1A2 intermediate state and a TIMP3-expressing chondrocyte-like subpopulation as the major endpoint, exhibiting cartilage-specific gene ontologies. In conclusion, a streamlined, xeno-free culture and differentiation protocol was developed, thereby establishing the basis for clinical-grade cell expansion and cartilage matrix formation. This positions USCs as a powerful tool for studying cartilage biology and a potential platform for development and use in regenerative therapies.

genetics↗

bioRxiv2025

A fast and child-friendly localizer for the identification of ITG-math based on its preference for mathematical processing

The visual number form areas (here referred to as ITG-math) have gained recent attention as a neural substrate of mathematical cognition. Yet, the function of these regions remains debated with some research suggesting selectivity for digits and others suggesting a visual stimulus-independent role in mathematical processing. Here we addressed this debate by exploring the impact of different tasks and stimuli on neural responses in ITG-math. Participants were presented with digits and UFOs, while performing a 1-back task either on stimulus numerosity or on stimulus color. We collected two sessions of this experiment from 17 healthy adults and could identify voxels with higher responses in the numerosity than the color task in 92% of the participants, whereas contrasting digits with UFOs lead to selective responses in only 35% of the participants. Accordingly, in independent data, ITG-math showed a task preference, but no stimulus preference. Multivariate analyses further revealed task encoding, and a combination of task and stimulus encoding, in the left and right ITG-math, respectively. Our work hence supports the notion that the role of ITG-math in mathematical cognition goes beyond the encoding of digits.

neuroscience↗

bioRxiv2025

Targeted long-read RNA sequencing reveals the complexity of CLN3 transcription and the consequences of the most common 1-kb deletion in patients with juvenile CLN3 disease

Most genes are not yet fully annotated, and the extent of their transcript diversity and the roles and significance of specific isoforms is not understood. This information is therefore lacking for disease genes. The CLN3 gene underlies classic juvenile CLN3 disease, also known as juvenile neuronal ceroid lipofuscinosis, a rare paediatric neurodegenerative disorder. The most common cause of this biallelic disorder is a 1-kb intragenic deletion that removes two internal coding exons (exons 7 and 8). Here, we report findings from the first long-read RNA sequencing targeting CLN3 in blood samples derived from control individuals and from patients clinically and genetically diagnosed with juvenile CLN3 disease. We find that CLN3 transcription is complex, with >80 different transcripts encoding >35 different open reading frames (ORF) of different lengths, and no dominantly expressed transcript. The 1-kb deletion has direct consequences on this. This is consistent across patients, with total loss of some transcripts including those encoding the canonical 438 amino acid protein and other significant smaller isoforms. The highest expressed disease transcripts include those lacking exons 7 and 8 and encoding a 181 amino acid protein isoform, and other novel isoforms that lack additional exons and encode longer ORFs. The different effects on transcription of other CLN3 disease-causing variants are revealed in single patients. Together, these findings confirm the complexity of transcription at the CLN3 locus, reveal the impact of the 1-kb deletion and other variants on isoform abundance, and highlight the importance of understanding the contribution of these isoforms to CLN3 function in health and disease. Moreover, they impact the future design and development of personalised therapeutics and the design and generation of disease models. Finally, they underline the importance of full annotation for disease genes.

genetics↗

bioRxiv2024

Loom response in mouse superior colliculus depends on sensorimotor context

Visual motion is produced both by an organisms movement through the world, and by objects moving in the world such as potential predators. Choosing appropriate behaviour therefore requires organisms to distinguish these sources of visual motion. Here we asked how mice integrate self-movement with looming visual motion by combining virtual reality and neural recordings from superior colliculus (SC), a brain area important in visually-guided approach and avoidance behaviours. We first measured locomotion behaviour and neural activity while animals approached an object in virtual reality, and while the same object loomed at them. In both cases, vision dominated activity in superficial layers (SCs), while locomotion had more influence on activity in intermediate layers (SCim). In addition, animals instinctively slowed their locomotion when nearing the object, or when the object neared them. To directly test animals ability to distinguish self-from object motion we replayed the visual images generated during object approach. Locomotion behaviour often changed during replay, showing animals are able to establish if visual motion is matched to their self-movement. Further, decoders trained on locomotion behaviour, or on population activity in SC, particularly in SCim, were able to reliably discriminate epochs of replay and object approach. We conclude that both mouse behaviour and SC activity encode whether looming visual motion arises from self-or object movement, with implications for understanding sensorimotor coordination in dynamic environments. HighlightsO_LIWe recorded from superficial (SCs) and intermediate (SCim) superior colliculus in VR C_LIO_LIVision dominated SCs, while SCim was modulated by both vision and locomotion C_LIO_LIMice altered behaviour when visual experience did not match that expected from their locomotion C_LIO_LIPopulation activity differed between matched and unmatched visual experiences, particularly in SCim C_LI

neuroscience↗

bioRxiv2024

Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms

Neural population dynamics are shaped by many cellular, synaptic, and network properties. Not only is it important to understand how coordinated changes in circuit parameters alter neural activity, but also when dynamics are unaffected by--or invariant to--such changes. Computational modeling has revealed invariances in single neurons and small circuits that are thought to reflect their robustness against variability and perturbations. However, generalizing these insights to larger circuits in cortex and other brain areas remains challenging. A key bottleneck lies in inverse modeling of neural circuits with spiking network models, i.e., identifying parameter configurations that quantitatively match dynamics observed in neural recordings. Here, we present Automated Model Inference from Neural Dynamics (AutoMIND) for efficient discovery of invariant circuit model configurations. AutoMIND leverages a mechanistic model with adaptive spiking neurons and clustered connectivity, which displays a rich variety of spatiotemporal dynamics. Probabilistic deep generative models--trained on network simulations only--then returns many parameter configurations consistent with a given target observation of neural activity. Applied to several datasets, AutoMIND discovers circuit models of synchronous network bursting in human brain organoids across early development, as well as models capturing complex frequency profiles of Neuropixels recordings in mouse hippocampus and cortex. In each case, we obtain hundreds of configurations that compose a (nonlinear) parameter subspace in which population dynamics remain unchanged. Surprisingly, global and local geometries of the invariant subspace are not fixed, but differ for different dynamics. Together, our results shed light on dynamic-dependent invariances of circuit parameters underlying diverse population dynamics, while demonstrating the flexibility of AutoMIND for inverse modeling of neural circuits.

neuroscience↗

bioRxiv2024

Predicting plasmodesmata-mediated interface permeability and intercellular diffusion

Intercellular communication is essential for plant development and responses to biotic and abiotic stress. A key pathway is diffusive exchange of signal molecules and nutrients via plasmodesmata. These cell wall channels connect the cytoplasms of most cells in land plants. Their small size, with a typical diameter of about 50 nm, and complex structure have hindered the quantification plasmodesmata-mediated intercellular diffusion. This measure is essential for disentangling the contributions of diffusive and membrane transporter-mediated movement of molecules that, together, define cell interactions within and across tissues. We compared the two most promising methods to measure plasmodesmata-mediated interface permeability, live-cell microscopy with fluorescent tracer molecules and transmission electron microscopy-based mathematical modeling, to evaluate the potential for obtaining absolute quantitative values. We applied both methods to 29 cell-cell interfaces from nine angiosperm species and found a stronger association between the modelled and experimentally determined interface permeabilities than between the experimentally-determined permeability and any single structural parameter. By feeding the values into a simulation of an artificial Arabidopsis leaf, we illustrate how interface permeabilities can help to predict diffusion patterns of defense-related molecules, such as glucosinolates and transcription factors.

plant biology↗

bioRxiv2024

Tagless LysoIP method for molecular profiling of lysosomal content in clinical samples

Lysosomes are implicated in a wide spectrum of human diseases including monogenic lysosomal storage disorders (LSDs), age-associated neurodegeneration and cancer. Profiling lysosomal content using tag-based lysosomal immunoprecipitation (LysoTagIP) in cell and animal models allowed major discoveries in the field, however studying lysosomal dysfunction in human patients remains challenging. Here, we report the development of the "tagless LysoIP method" to enable rapid enrichment of lysosomes, via immunoprecipitation, using the endogenous integral lysosomal membrane protein TMEM192, directly from clinical samples and human cell lines (e.g. induced Pluripotent Stem Cell (iPSCs) derived neurons). Isolated lysosomes are intact and suitable for subsequent multimodal omics analyses. To validate our approach, we employed the tagless LysoIP to enrich lysosomes from peripheral blood mononuclear cells (PBMCs) derived from fresh blood from patients with CLN3 disease, a neurodegenerative LSD. Metabolic profiling of isolated lysosomes showed massive accumulation of glycerophosphodiesters (GPDs) in patients lysosomes. Interestingly, a patient with a milder phenotype and genotype displayed lower accumulation of lysosomal GPDs, consistent with their potential role as disease biomarkers. Altogether, the tagless LysoIP provides a framework to study native lysosomes from patient samples, identify novel biomarkers and discover human-relevant disease mechanisms.

cell biology↗

bioRxiv2024

Modeling conditional distributions of neural and behavioral data with masked variational autoencoders

Extracting the relationship between high-dimensional recordings of neural activity and complex behav- ior is a ubiquitous problem in systems neuroscience. Toward this goal, encoding and decoding models attempt to infer the conditional distribution of neural activity given behavior and vice versa, while dimensionality reduc- tion techniques aim to extract interpretable low-dimensional representations. Variational autoencoders (VAEs) are flexible deep-learning models commonly used to infer low-dimensional embeddings of neural or behavioral data. However, it is challenging for VAEs to accurately model arbitrary conditional distributions, such as those encountered in neural encoding and decoding, and even more so simultaneously. Here, we present a VAE-based approach for accurately calculating such conditional distributions. We validate our approach on a task with known ground truth and demonstrate the applicability to high-dimensional behavioral time series by retrieving the condi- tional distributions over masked body parts of walking flies. Finally, we probabilistically decode motor trajectories from neural population activity in a monkey reach task and query the same VAE for the encoding distribution of neural activity given behavior. Our approach provides a unifying perspective on joint dimensionality reduction and learning conditional distributions of neural and behavioral data, which will allow for scaling common analyses in neuroscience to todays high-dimensional multi-modal datasets.

neuroscience↗

bioRxiv2024

Relieving the transfusion tissue traffic jam: a network model of radial transport in conifer needles

The linear geometry of conifer leaves (e.g., pine needles) imposes architectural constraints on solute transport. The needles structural solution to prevent axial stagnation, however, introduces an additional challenge to radial transport by restricting loading and unloading of sugar and water, respectively, to a narrow zone at the periphery of the vascular bundle. Moreover, a Casparian strip blocks apoplastic flow through the endodermis between the vasculature and photosynthetic tissue, forcing countercurrents of water and sugar to travel simultaneously through the cell lumen at this interface. In between these two potential bottlenecks is the transfusion tissue, a distinctive anatomical feature of conifer needles. Here we develop a network-based mathematical model to explore how the structure of the intervening transfusion tissue facilitates radial transport of sugar and water. To describe extravascular transport with cellular resolution, we construct networks from images of Pinus pinea needles obtained through X-ray CT, as well as fluorescence and electron microscopy. Our results show that the physical separation of sugar and water pathways within the transfusion tissue mitigates the consequences of constricting flow at both the vascular access points and the endodermis. SIGNIFICANCEThe efficiency with which plants transport water and sugar across many scales affects their survival and success. At the leaf scale, accommodating the opposing flows of water and sugar is a nontrivial challenge, especially when foliar geometry imposes architectural limitations (e.g., in linear leaves (needles) of conifers). The transfusion tissue is a characteristic component of the conifer needle which mediates the radial transport of sugar and water. Our network model shows that the transfusion tissue alleviates the sugar-water traffic jams that would otherwise develop between the vascular system and photosynthetic cells. Our mathematical model provides finer resolution than what is currently possible with experimental approaches.

plant biology↗

bioRxiv2023

Second Harmonic Generation Imaging Reveals Entanglement of Collagen Fibers in the Elephant Trunk Skin Dermis

Form-function relationships often have tradeoffs: if a material is tough, it is often inflexible, and vice versa. This is particularly relevant for the elephant trunk, where the skin should be protective yet elastic. To investigate how this is achieved, we used classical histochemical staining and second harmonic generation microscopy to describe the morphology and composition of elephant trunk skin. We report structure at the macro and micro scales, from the thickness of the dermis to the interaction of 10 m thick collagen fibers. We analyzed several sites along the length of the trunk, to compare and contrast the dorsal-ventral and proximal-distal skin morphologies and compositions. We find the dorsal skin of the elephant trunk can have keratin armor layers over 2mm thick, which is nearly 100 times the thickness of the equivalent layer in human skin. We also found that the structural support layer (the dermis) of elephant trunk contains a distribution of collagen-I (COL1) fibers in both perpendicular and parallel arrangement. The bimodal distribution of collagen is seen across all portions of the trunk, and is dissimilar from that of human skin where one orientation dominates within a body site. We hypothesize that this distribution of COL1 in the elephant trunk allows both flexibility and load-bearing capabilities. Additionally, when viewing individual fiber interaction of 10 m thick collagen, we find the fiber crossings per unit volume are five times more common than in human skin, suggesting that the fibers are entangled. We surmise that these intriguing structures permit both flexibility and strength in the elephant trunk. The complex nature of the elephant skin may inspire the design of materials that can combine strength and flexibility.

bioengineering↗

bioRxiv2023

The aerial epidermis is a major site of quinolizidine alkaloid biosynthesis in narrow-leafed lupin

Lupins are promising legume crops that accumulate toxic alkaloids in the seeds, complicating their use as high-protein crops. The alkaloids are synthesized in green organs (leaves, stems, and pods) and a subset of them is transported to the seeds during fruit development. The exact sites of biosynthesis and accumulation remain unknown, however mesophyll cells have been proposed as sources, and epidermal cells have been suggested as sinks. We examined the spatial localization of the alkaloids in biosynthetic organs of narrow-leafed lupin using mass spectrometry-based imaging (MSI). The alkaloids that accumulate in seeds ("core" alkaloids) were evenly distributed across tissues, however their esterified versions accumulated primarily in the epidermis. In addition, we generated a tissue-specific RNAseq dataset of biosynthetic organs using laser-capture microdissection. The dataset revealed that alkaloid biosynthetic genes are strongly expressed in the epidermis. To confirm the biosynthetic capacity of the leaf epidermis, we combined precursor feeding studies with mass spectrometry imaging, which showed that the lower epidermis is highly biosynthetic. Our work challenges the current assumptions on the precise sites of lupin alkaloid biosynthesis, with direct implications for the elucidation of the alkaloid biosynthesis pathway and the long-distance transport network from source to seed.

plant biology↗